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约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
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机械优化设计的作业 包括一维搜索方法（二次差值，牛顿法，黄金分割法），以及最速下降法和内点惩罚函数法及等值线图-Optimal Design of mechanical operations, including one-dimensional search method (the second difference, Newton' s law, golden section method), and the steepest descent method and interior po
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计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
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压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag contains unconstrained optimiz
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采用最速下降法查找最小值，采用H终止准则，计算时间很快，很适合初学者使用-Steepest descent method using the minimum search using H termination criteria, the computation time soon, it is suitable for beginners to use
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NUMERICAL OPTIMIZATION:
This steepest descent method with constant step length to find the minima of
f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y)
Graphical represxentation in 5 ways of solution, simple and clear explained.-NUMERICAL OPTIMIZ
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Steepest descent have been applied to a biomedical application data and the component responsible for key operation is obtained
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In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary po
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最速下降法（steepest descent method)是以负梯度方向作为下降方向的极小化算法，又称梯度法，是1874年法国科学家Cauchy提出的，最速下降法是无约束最优化中最简单的方法。-Steepest descent method
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这是一个用最速下降法求解线性方程的方法，程序代码使用matlab语言。
-This is a steepest descent method for solving linear equations, program code using matlab language.
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最优化算法，最速下降法,matlab函数实现
function [istatus,xm,ym,lamda]=quickestdown(y,x0,lamda0, tol, maxIter)
最速下降法
输入：fun--目标函数
x--变量 x0---初始位置
lamda0--初始步长
tol---精度
maxIter--最大迭代次数
-Steepest descent method
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MATLAB实现的最速下降法，简单易懂，大家可以下载看一下，做参考。-MATLAB implementation of the steepest descent method is simple to understand, we can download the look, do reference.
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关于最优化算法的Matlab仿真程序，最速下降法与牛顿法。-Optimization algorithm Matlab simulation program, the steepest descent method and Newton method.
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这个源码在VC++6.0平台上用C语言编写的，实现了最速下降法的全过程。-The source code written in C language on vc++ 6.0 platform, realize the whole process of the steepest descent method.
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使用最速下降法求解二元函数的极值，内含区间取半法的一维寻优，有实例和说明，不只是算法。-Using the steepest descent method for solving the dual function of extremes, containing half the interval to take a one-dimensional optimization method, there are examples and illustrations, not just algori
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程序是通过最速下降法寻找三阶二维的目标函数的局布极值点。-Program is through the steepest descent method to find the objective function of the third-order two-dimensional local extremum point.
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解线性方程组的最速下降法，编译器用的是intel visual fortran-solve linear equations with steepest descent method
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带有MonteCarlo实验的最速下降法，应用于自适应滤波器-MonteCarlo experiment with the steepest descent method, used in the adaptive filter
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最速下降方法是最优化的主要方法，是最优化方向的主要分支-The steepest descent method is the main method of optimization, it is the main branch of the optimization direction.
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使用matlab实现最速下降法，已经经过测试，可以正确使用-Using matlab to achieve the steepest descent method has been tested and used properly.
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